Programming
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Tags: CUDA, Differential equations, Electrodynamics, FDTD, Finite difference, Finite-difference time-domain, Maxwell's equations, nVidia, nVidia GeForce 8400 GS, Optoelectronics, Python, Tesla C2075, Thesis
Tags: Algorithms, CUDA, Image processing, Image registration, nVidia, nVidia GeForce 8400 GS, Thesis
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Tags: Algorithms, CUDA, Differential equations, Electrodynamics, FDTD, Finite difference, Finite-difference time-domain, Maxwell's equations, nVidia, nVidia GeForce 8400 GS
Tags: Benchmarking, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce 8400 GS, Performance, Tesla C2050, Tesla M1060, Thesis
Tags: Algorithms, Computer science, Genetic programming, GPU cluster, Heterogeneous systems, nVidia, nVidia GeForce 8400 GS, nVidia GeForce 9800 GTX, nVidia GeForce GTS 450, Optimization
Tags: Computer science, CUDA, Fault tolerance, Heterogeneous systems, nVidia, nVidia GeForce 8400 GS, Tesla C1060
Tags: Computer science, CUDA, GPU cluster, Heterogeneous systems, MPI, Nearest neighbour, nVidia, nVidia GeForce 8400 GS, nVidia GeForce 9800 GTX, nVidia GeForce GTS 450
Most viewed papers (last 30 days)
- OpenCL Performance Evaluation on Modern Multi Core CPUs
- JPEG-GPU:: a GPGPU Implementation of JPEG Core Coding Systems
- Surface Reconstruction from Scattered Point via RBF Interpolation on GPU
- Parallelization of the Ant Colony Optimization for the Shortest Path Problem using OpenMP and CUDA
- Enabling OS Research by Inferring Interactions in the Black-Box GPU Stack
- CLgrep: A Parallel String Matching Tool
- Rapid Computation of Sodium Bioscales Using GPU-Accelerated Image Reconstruction
- Using GPU Simulation to Accurately Fit to the Power-Law Distribution
- OCLoptimizer: An Iterative Optimization Tool for OpenCL
- 3DES ECB Optimized for Massively Parallel CUDA GPU Architecture
Rating
Parallel GPU-accelerated Recursion-based Generators of Pseudorandom Numbers
Optimizing a Biomedical Imaging Orientation Score Framework
Accelerating Computer Vision Algorithms Using OpenCL on Mobile GPU - A Case Study
Parallel AES Encryption Engines for Many-Core Processor Arrays
Speeding up Large-Scale Point-in-Polygon Test Based Spatial Join on GPUs
Real-space density functional theory on graphical processing units: computational approach and comparison to Gaussian basis set methods
OCLoptimizer: An Iterative Optimization Tool for OpenCL
A Simplified and Accurate Model of Power-Performance Efficiency on Emergent GPU Architectures
A CUDA-Based Cooperative Evolutionary Multi-Swarm Optimization Applied to Engineering Problems
Implementations of the FFT algorithm on GPU
Recent source codes
Events
May 18-21, 2014 Denver, USA ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, ACM SIGSIM PADS 2014 |
March 17-19, 2014 Lisbon, Portugal 7th International ICST Conference on Simulation Tools and Techniques, SIMUTools 2014 |
June 26, 2013 9:00 AM - 10:00 AM PDT Understanding Dynamic Parallelism at Any Scale with Allinea's Unified Tools (webinar) |
June 4, 2013 10:00 AM - 11:00 AM PDT CUDA 5.5 Features and Release Candidate (RC) program (webinar) |
June 20, 2013 9:00 AM - 10:00 AM PDT GPU Accelerated XenDesktop for Designers and Engineers (webinar) |
Registered users can now run their OpenCL application at hgpu.org. We provide 1 minute of computer time per each run on two nodes with two AMD and one nVidia graphics processing units, correspondingly. There are no restrictions on the number of starts.
The platforms are
- GPU device 0: AMD/ATI Radeon HD 5870 2GB, 850MHz
- GPU device 1: AMD/ATI Radeon HD 6970 2GB, 880MHz
- CPU: AMD Phenom II X6 @ 2.8GHz 1055T
- RAM: 12GB
- HDD: 2TB, Raid-0
- OS: OpenSUSE 11.4
- SDK: AMD APP SDK 2.8
- GPU device 0: AMD/ATI Radeon HD 7970 3GB, 1000MHz
- GPU device 1: nVidia GeForce GTX 560 Ti 2GB, 822MHz
- CPU: Intel Core i7-2600 @ 3.4GHz
- RAM: 16GB
- HDD: 2TB, Raid-0
- OS: OpenSUSE 12.2
- SDK: nVidia CUDA Toolkit 5.0.35, AMD APP SDK 2.8
Completed OpenCL project should be uploaded via User dashboard (see instructions and example there), compilation and execution terminal output logs will be provided to the user.
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